Practice Summary of Worst Case vs. Average Case - 6.2.3 | 6. Input Size and Running Time | Design & Analysis of Algorithms - Vol 1
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Summary of Worst Case vs. Average Case

6.2.3 - Summary of Worst Case vs. Average Case

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the term 'input size' refer to?

💡 Hint: Consider what you count in arrays and data structures.

Question 2 Easy

Define 'worst case' in terms of algorithm analysis.

💡 Hint: Think about how long an algorithm runs under the most challenging conditions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the worst-case time complexity indicate?

The fastest time an algorithm can complete
The average time of all inputs
The longest time an algorithm can take

💡 Hint: Think about the most time-consuming scenario.

Question 2

True or False: Average-case analysis is always easy to compute.

True
False

💡 Hint: What happens when you include varying possibilities?

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Propose an algorithm, and analyze both the worst and average case scenarios, providing a detailed explanation.

💡 Hint: Focus on how input size and distribution affects running time.

Challenge 2 Hard

Given a set of data, create a probability distribution to simulate an average-case scenario and calculate the expected running time.

💡 Hint: Think about averages and sample size.

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